Division of Gastroenterology, Hepatology and Motility, University of Kansas School of Medicine, Kansas City, KS, USA.
Division of Gastroenterology and Hepatology, Indiana University Medical Center, Indianapolis, IN, USA.
Dig Endosc. 2022 Jan;34(1):191-197. doi: 10.1111/den.14050. Epub 2021 Jun 18.
Blue light imaging (BLI) has been shown to improve the characterization of colorectal polyps among the endoscopy experts. We aimed to determine if this technology could be taught to endoscopy trainees while maintaining high accuracy and interobserver agreement.
Twenty-one gastroenterology trainees (fellows) from two academic institutions participated in this prospective study. Each trainee completed a web-based learning comprising four modules: pre-test, didactic videos explaining the BLI Adenoma Serrated International Classification (BASIC), interactive examples, and post-test assessment. The pre- and post-test modules consisted of reviewing video images of colon polyps in high definition white light imaging and BLI and then applying the BASIC classification to determine if the polyps were likely to be adenomatous. Confidence in adenoma identification (rated '1' to '5'), accuracy in polyp (adenoma vs. non-adenoma) identification, and agreement in characterization per BASIC criteria were derived.
Trainee accuracy in the adenoma diagnosis improved from 74.7% (pre-test) to 85.4% (post-test) (P < 0.01). There was a trend towards higher accuracy in polyp characterization with subsequent years of training (1st year fellows 77.4%, 2nd year 88.5%, and final year 94.0%) with consistent improvements after the e-learning across years of trainees. Overall, trainees were able to identify adenoma with a high sensitivity of 86.9%, specificity 83.9%, positive predictive value of 84.4%, and negative predictive value of 86.5%. However, their interobserver agreement in adenoma diagnosis was moderate (k = 0.52).
The novel BLI classification can be easily taught to gastroenterology trainees using an online module and accuracy improves with years of training reaching >90% for colorectal polyp characterization.
蓝光成像(BLI)已被证明可以提高内镜专家对结直肠息肉的特征描述能力。我们旨在确定是否可以将这项技术教授给内镜培训生,同时保持高准确性和观察者间一致性。
来自两个学术机构的 21 名消化科培训生(研究员)参与了这项前瞻性研究。每个培训生都完成了一个基于网络的学习,包括四个模块:前测、解释 BLI 腺瘤锯齿状国际分类(BASIC)的教学视频、互动示例和后测评估。前测和后测模块包括查看高清白光成像和 BLI 下结肠息肉的视频图像,然后应用 BASIC 分类来确定息肉是否可能为腺瘤。得出腺瘤识别的置信度(评为 1 到 5)、息肉(腺瘤与非腺瘤)识别的准确性以及根据 BASIC 标准的特征描述一致性。
培训生在腺瘤诊断中的准确性从 74.7%(前测)提高到 85.4%(后测)(P<0.01)。随着培训年限的增加,息肉特征描述的准确性呈上升趋势(第 1 年研究员为 77.4%,第 2 年为 88.5%,最后一年为 94.0%),并且培训生的年际间的学习效果一致。总的来说,培训生能够以 86.9%的高灵敏度、83.9%的特异性、84.4%的阳性预测值和 86.5%的阴性预测值识别腺瘤。然而,他们在腺瘤诊断方面的观察者间一致性为中等(k=0.52)。
使用在线模块,可轻松向消化科培训生教授新型 BLI 分类,且准确性随培训年限的增加而提高,对结直肠息肉的特征描述准确率达到>90%。